context('map_gene_id')
test_that('map_gene_id correctly maps acession_number (uniprot) to HGNC' ,{
# read in test data
df <- data.frame(accession_number=c('Q96DR7', 'Q13148', 'P17948'), rep1=1:3, rep2=4:6)
outDf <- data.frame(df,gene=c('ARHGEF26','TARDBP', 'FLT1'))
df2 <- data.frame(accession_number=c('Q96DR7','Q96DR7-3'))
outDf2 <- data.frame(accession_number=c('Q96DR7','Q96DR7-3'),gene=c('ARHGEF26','ARHGEF26'))
df3 <- data.frame(accession_number=c('BADNAME'))
# typical cased
result <- map_gene_id(df)
result$gene <- as.factor(result$gene)
outDf$gene <- as.factor(outDf$gene)
expect_equal(result, outDf)
# valid Uniprot ID but with isoform
result <- map_gene_id(df2)
result$gene <- as.factor(result$gene)
outDf2$gene <- as.factor(outDf2$gene)
expect_equal(result, outDf2)
# invalid uniprot ID
result <- map_gene_id(df3)
expect_true(is.na(result$gene))
})
test_that('Full pipeline with accession number and reps',{
# data with all columns can be read
df <- read.table(file = 'data/BCL2vsIgG.txt', header = T)
df$gene <- NULL
df$logFC <- NULL
df$pvalue <- NULL
df$FDR <- NULL
tmp <- tempfile()
write.table(df, tmp, quote=F, sep="\t", row.names=F)
# check returned data.frame
d_in <- read_input(tmp, sep="\t")
expect_equal(d_in$data, df)
mapped <- head(map_gene_id(d_in$data))
expect_equal(as.character(mapped$gene), c('APPL1','MOV10','SRGAP1','ATXN2','APC2','MCRIP1'))
})
test_that('Full pipeline with accession numbers and signif',{
# data with all columns can be read
df <- read.table(file = 'data/BCL2vsIgG.txt', header = T)
df$gene <- NULL
df$rep1 <- NULL
df$rep2 <- NULL
df$rep3 <- NULL
tmp <- tempfile()
write.table(df, tmp, quote=F, sep="\t", row.names=F)
# check returned data.frame
d_in <- read_input(tmp, sep="\t")
expect_equal(d_in$data, df)
mapped <- head(map_gene_id(d_in$data))
expect_equal(as.character(mapped$gene), c('APPL1','MOV10','SRGAP1','ATXN2','APC2','MCRIP1'))
})
test_that('Some accession numbers are not found mapped',{
df <- data.frame(accession_number=c('BLABLA', 'Q13148', 'BLABLA3'), rep1=1:3, rep2=4:6)
outDf <- data.frame(df,gene=c(NA,'TARDBP', NA), stringsAsFactors = T)
result <- map_gene_id(df)
expect_equal(result$gene, outDf$gene)
})
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